Ansys integration that reaches the systems other tools can't.
Connect Ansys Twin Builder to every SCADA, IoT, historian + AI agent your operation runs on. Feed the physics ROM twin live sensor data, and make its predictions act across your systems.
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Live demo · Claude querying Ansys + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Ansys is brilliant at what it does. Useless at everything else your data + AI needs to touch.
The ROM is validated in the lab but never sees a live plant feed, so it runs on sample inputs. The FMU is deployed but starved of real sensor data. Its predicted states, the ones you cannot measure directly, never reach maintenance or reliability. AI work stalls without a live physics feed.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for Ansys, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- SCADA, IoT sensors and historians that should feed the reduced-order model live, not by file
- Edge runtimes hosting the deployed FMU that need a clean real-time input stream
- EAM and CMMS that should act on a predicted state the ROM twin has computed
- ERP and reliability systems that need the twin's remaining-life and virtual-sensor outputs
- AI models that combine the physics twin's predictions with live operating data
SCADA, IoT, historians, EAM + AI. One platform.
The integration platform built for what other tools can't (or won't) reach - plus an AI data fabric, MCP server + app builder layered on top.
- Ansys + every SCADA, IoT and historian system
- SCADA, IoT sensors, historians, BIM/GIS, EAM + custom-built connectors.
- Files, legacy SQL, FTP + custom-built connectors
- Real-time bidirectional sync, tier-aware + rate-limit-safe
- AI Data Fabric, MCP, automation + custom apps included
Ansys + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on Ansys + integrated systems. Built in weeks, not months.
Feed the ROM live sensor data
Real-time sensor readings and historian values stream into the reduced-order model, so the physics twin computes against how the asset runs now. Data is unified first in Rayven's Industrial AI Data Fabric, then fed to the ROM.
Clean inputs to the deployed twin
Rayven delivers a mapped, conditioned real-time input stream to the FMU deployed at the edge, so the runtime twin runs on trustworthy data and its virtual sensors stay honest.
Predicted state becomes a work order
When the ROM twin predicts a degrading state or a threshold breach on something you cannot measure directly, Rayven raises a work order in EAM or CMMS with the predicted cause attached.
Virtual-sensor + life outputs where they act
Remaining-life estimates and virtual-sensor values the twin computes post to ERP and reliability systems, so planning uses states the physics model infers, not only what a gauge reads.
Physics + data, AI-ready
The ROM twin's predictions and live operating data land together in Rayven's fabric, where AI agents blend physics with data-driven models and return combined predictions.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Ansys connector. It's the operational software platform underneath - so once Ansys is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Ansys data joined with ERP, IoT + legacy - contextualised, unified and structured so AI models, agents and tools can use it without ETL prep work.
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Live AI access (Rayven MCP)
Claude, ChatGPT + Gemini get live, governed access to Ansys and every other connected system. Your AI stops guessing - cites real Ansys records + numbers.
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Automation + AI agents
Workflows + AI agents act on Ansys data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
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Custom apps + portals
Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated Ansys data. No separate BI tool, no separate dev stack.
Learn more →
All on top of your existing stack. No rip + replace. Ansys stays Ansys. Rayven works on what you've already built. Specifically tuned for ROM input conditioning + FMU runtime feeds with mapped virtual-sensor outputs.
Rayven is a five-layer platform ALL your integrations + much more
can run on.
Integration is one layer of Rayven. Data, execution, presentation + governance are the other four - all delivered as one platform on one commercial.
Pick the right tool for your stack.
Ansys integration looks different at every scale. Honest comparison of the four common paths - Rayven only wins on some of them.
The integration is the easy bit.
The platform + team behind it is the difference.
Platform + team. One commercial.
Not five vendors stitched together. Rayven is the platform AND the Australia-based expert team that scopes, builds + supports it. One commercial. No licence stacking, no finger-pointing.
Built for Twin Builder's physics ROM.
Rayven feeds conditioned real-time sensor data into the reduced-order model and the deployed FMU through the Twin Runtime SDK, REST and messaging, then routes the twin's predicted states and virtual-sensor outputs to [EAM](/solutions/data-integration-platform/eam-integration), ERP and AI in real-time.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Ansys evolves, your stack changes, or you push further. 24/7 support. Same team, same platform, same commercial.
Hosted your way, where you need.
Deploy as cloud, private cloud + on-premise - in Australia, the US, the UK, or anywhere else your Ansys data needs to live. Your residency, your rules, your local compliance environment.
The questions Ansys admins, RevOps + IT ask first.
If you're evaluating Rayven for Ansys integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Ansys + connected stack today
- What's reachable + which systems to bring in first
- Live walkthrough of Rayven against your scenario
- Time, scope + delivery estimate
- Honest read on whether Rayven's the right fit
What is Ansys Twin Builder integration?
It connects the Ansys physics twin to your operational stack - SCADA, IoT, EAM and AI - so the reduced-order model runs on live data and its predictions reach the systems that act. Rayven delivers it as part of an Industrial AI Data Fabric.
How does Rayven connect Ansys Twin Builder to other systems?
Rayven feeds real-time sensor data to the reduced-order model and the deployed FMU runtime, and routes the twin's predicted states out through REST and messaging. Sensor inputs, virtual-sensor outputs and life estimates flow as first-class integration events. See the Rayven Platform.
What systems can Rayven connect Ansys Twin Builder to?
Rayven connects Ansys Twin Builder to 1,228+ systems including SCADA, historians, EAM, ERP and sibling twins like NVIDIA Omniverse and Siemens Xcelerator. Custom integrations are part of done-for-you delivery.
How long does Ansys Twin Builder integration take with Rayven?
Most Ansys Twin Builder integrations go live in 2-12 weeks. Feeding a single ROM or FMU with a live sensor stream runs in 2-4 weeks; a full deployed physics twin with predictions driving EAM and AI runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
Does Rayven replace Ansys Twin Builder or run the physics model?
No. Rayven feeds and activates the twin; it does not build the reduced-order model or run the physics solve, and it never controls the asset. Rayven keeps the ROM and FMU fed and pushes their predictions to EAM, ERP and AI. Read how Rayven works.
What are the most common Ansys Twin Builder integration use cases?
Top use cases are feeding the ROM live sensor data, clean inputs to the deployed FMU, predicted-state-to-work-order, virtual-sensor outputs to ERP, and AI physics-plus-data models. See the automations above.
What are the technical specifics of Ansys Twin Builder integration with Rayven?
Rayven integrates Ansys Twin Builder through the Twin Runtime SDK, FMU / FMI runtime interfaces and REST and messaging, for real-time bidirectional data flow around the physics twin. Reduced-order models, hybrid analytics, virtual sensors and predicted states are preserved through the integration, with field-level mapping into SCADA, EAM, ERP and AI targets. Live sensor readings are collected over OPC-UA, Modbus and MQTT, unified in Rayven's fabric, then conditioned, scaled and unit-matched to the ROM's expected inputs before delivery to the model or the FMU deployed at the edge - so the twin runs on trustworthy data rather than sample inputs. Rayven stays read-only on the control loop. The twin's predicted states and virtual-sensor outputs route out to work orders, reliability systems and AI agents in real-time, where they can be blended with data-driven models. Validated against Twin Builder ROMs deployed as FMUs through Twin Deployer with live plant sensor feeds.
Ansys + AI integration.
In weeks, not months.
Book a 30-minute call. Walk away with a tailored plan - what's reachable, what to bring in first, time + scope.